Training Robust ML-based Raw-Binary Malware Detectors in Hours, not Months
K. Lucas, W. Lin, L. Bauer, M. K. Reiter, and M. Sharif. CCS '24. [BibTeX]Get details or download paper
Publications
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Group-based Robustness: A General Framework for Customized Robustness in the Real World
W. Lin, K. Lucas, N. Eyal, L. Bauer, M. K. Reiter, and M. Sharif. NDSS '24. To appear. [BibTeX]Get details
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion
Z. Huang, N. G Marchant, K. Lucas, L. Bauer, O. Ohrimenko, B. IP Rubinstein. NeurIPS '23. [BibTeX]Get details
Adversarial Training for Raw-Binary Malware Classifiers
K. Lucas, S. Pai, W. Lin, L. Bauer, M. K. Reiter, and M. Sharif. USENIX Security '23. [BibTeX]Get details or download paper
Perspectives from a Comprehensive Evaluation of Reconstruction-based Anomaly Detection in Industrial Control Systems
C. Fung, S. Srinarasi, K. Lucas, H. B. Phee, L. Bauer. ESORICS'22. [BibTeX]Get details or download paper
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks
W. Lin, K. Lucas, L. Bauer, M. K. Reiter, M. Sharif. ICML'22. [BibTeX]Get details or download paper
Any-Play: an Intrinsic Augmentation for Zero-Shot Coordination
K. Lucas, R. Allen. AAMAS'22. [BibTeX]Get details or download paper
Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes
K. Lucas, M. Sharif, L. Bauer, M. K. Reiter, and S. Shintre. AsiaCCS'21. [BibTeX]Get details or download paper
Creating xBD: A Dataset for Assessing Building Damage from Satellite Imagery
R. Gupta, B. Goodman, N. Patel, R. Hosfelt, S. Sajeev, E. Heim, J. Doshi, K. Lucas, H. Choset, M. Gaston. CVPR Workshops '19. [BibTeX]Get details